Alternatives and similar repositories for ai-for-tsp-competition:

Users that are interested in ai-for-tsp-competition are comparing it to the libraries listed below

• alstn12088 / LCP
  ☆21Updated 2 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆49Updated 4 years ago
• jiang-yuan / Learning-routing-DRO
  ☆20Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆48Updated 2 years ago
• naver / bq-nco
  ☆37Updated last year
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆24Updated 4 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆20Updated this week
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆64Updated last month
• DIMESTeam / DIMES
  ☆41Updated last month
• yining043 / PDP-N2S
  This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…
  ☆56Updated 2 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆15Updated 4 months ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• RobbertReijnen / DR-ALNS
  Official implementation of "DR-ALNS: Deep Reinforced Adaptive Large Neighborhood Search"
  ☆19Updated 3 months ago
• dtkon / PDP-NCS
  Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…
  ☆10Updated last month
• wouterkool / dpdp
  DPDP
  ☆100Updated 2 years ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆97Updated 9 months ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆48Updated last year
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆52Updated 9 months ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆48Updated this week
• vidalt / Districting-Routing
  Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …
  ☆24Updated 7 months ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆37Updated 8 months ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆53Updated 2 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆36Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆81Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆25Updated 3 years ago
• temur-kh / pdp-drl-project
  Deep reinforcement approach to solving dynamic pickup and delivery problem
  ☆17Updated 3 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆32Updated 7 months ago
• khalil-research / RLCG
  ☆15Updated 2 years ago